Mostly harmless simulations? : using monte carlo studies for estimator selection
Year of publication: |
[2019] ; This version: March 21, 2019
|
---|---|
Authors: | Advani, Arun ; Kitagawa, Toru ; Słoczyński, Tymon |
Publisher: |
Coventry, United Kingdom : The University of Warwick, Centre for Competitive Advantage in the Global Economy, Department of Economics |
Subject: | empirical Monte Carlo studies | program evaluation | selection onobservables | treatment effects | Simulation | Monte-Carlo-Simulation | Monte Carlo simulation | Schätztheorie | Estimation theory | Kausalanalyse | Causality analysis |
-
Mostly harmless simulations? : using monte carlo studies for estimator selection
Advani, Arun, (2019)
-
Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun, (2018)
-
Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun, (2018)
- More ...
-
Mostly harmless simulations? Using Monte Carlo studies for estimator selection
Advani, Arun, (2019)
-
Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun, (2018)
-
Mostly harmless simulations? : on the internal validity of empirical Monte Carlo studies
Advani, Arun, (2018)
- More ...